GitHub shares lessons on evaluating LLMs before deploying to production

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GitHub has published a blog post outlining key lessons learned from evaluating large language models (LLMs) for real-world use cases. The insights stem from the company's hands-on experience applying LLMs to secret scanning tasks. The post aims to help developers and teams assess LLM performance before moving models into production environments. GitHub's guidance reflects practical challenges encountered during internal evaluation processes.

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